ISosnovik / sesn
Code for "Scale-Equivariant Steerable Networks"
☆69Updated 4 years ago
Alternatives and similar repositories for sesn:
Users that are interested in sesn are comparing it to the libraries listed below
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆66Updated 4 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 3 years ago
- Code for "DISCO: accurate Discrete Scale Convolutions"☆17Updated 2 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆96Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆90Updated 5 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 11 months ago
- ☆78Updated 3 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆50Updated 4 years ago
- ☆65Updated 3 years ago
- ☆148Updated 2 years ago
- Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models☆32Updated 5 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated 2 years ago
- Experiments with Group Equivariant Convolutions in PyTorch☆114Updated 2 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Scale-Steerable CNN Implementation for PyTorch☆23Updated 4 years ago
- pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE☆14Updated 5 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆140Updated 3 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆58Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Deep Declarative Networks☆242Updated 2 months ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 2 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆49Updated 2 years ago
- Attentive Single-tasking of Multiple Tasks☆84Updated 5 years ago